EAGER: Prototype Dense Motion Capture for Large-Scale Deformable-Scene Tracking
EAGER: Prototype Dense Motion Capture for Large-Scale Deformable-Scene Tracking
批准号:
1249409
负责人:
Gabriel Sibley
金额:
$7.28万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-15 至 2013-08-31
中文摘要
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英文摘要
This EAGER proposal, developing a dense deformable object tracking method for testing and ground-truthing highly dynamic maneuvers of robotic vehicles, offers to prototype a radically new approach to instrumentation for highly agile machines of many types. Using heterogeneous fusion of numerous sensing modalities, the PI proposes to create a high resolution, high bandwidth map of deformable and articulated bodies such as cars with suspensions, humans, legged robots, and such for the performance evaluation and algorithm development for these highly dynamic research artifacts.Broader Impacts: This work will facilitate a wide variety of research, including studies of agile robotics in dynamic environments. The impacts to robotic science, especially agile and fast moving robots, are clear. The system will also have impact on any other science, such as human motion analysis, ergonomics and medical rehabilitation, where accurate, dense tracking and mapping of deformable scenes is required.
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A study on prototype flexible multifunctional graphene foam-based sensing grid (柔性多功能石墨烯泡沫传感网格原型研究)
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资助金额:20万元
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批准年份:2020
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负责人:SAGAR RIZWAN UR REHMAN
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依托单位: